SlideShare a Scribd company logo
1 of 32
Using Reference Materials to Meet Validation and
Verification Requirements
5
Bio-Specimens used in Molecular Diagnostics
 Most clinical tissue samples are preserved in FFPE
 FFPE samples are now being used for molecular diagnostic testing
 FFPE based studies: every specimen is different in terms of % tumor contribution to
the specimen and % mutation contribution to the tumor
• Therapeutic choices are made based upon these results
• False positive and false negative results are detrimental to the patient
FFPE
Sample
Cancer
Patient
DNA Extraction Diagnosis
3
External Quality Assessment Proficiency Testing Scheme - 2014
Only 70% of laboratories passed the proficiency test.
False -negatives and false-positives were the main sources of error.
0
5
10
15
20
25
30
35
40
PercentageofIncorrectResults
EGFR Sample Tested
EGFR Genotyping Errors
External Quality Assessment 2014
What is the impact of assay failure
in your laboratory and how do
you monitor for it?
7
5
HDx™ Reference Standards - Precise Allelic FrequenciesReference
Slide
FFPE Reference
Standards
IHC Reference Slides
FISH Reference Slides DNA Reference
Standards
Tumor sample
Diagnosis
Therapy
DNA extraction
GenotypingCytogenetics
Histology
Validation:
Cost, Risk and Technical Possibilities…
7
The Validation Balance
“Validation is always a balance
between costs, risks and
technical possibilities”.
(CAN-P-4E: clause 5.4.5.3- Note 3)
8
Verification and Validation Definitions
• Confirmation by examination and provision of
objective evidence that the particular requirements
for a specific intended use are fulfilled.
Verification
(ISO 9000)
• Confirmation by examination and provision of
objective evidence that specified requirements have
been fulfilled.
Validation
(ISO 9000)
• Safe and useful service to clinicians and patients.
• Validation is more than a one time activity and if
used continually can improve the assessment of test
accuracy and performance.
Purpose
9
General Validation Requirements
General Validation Requirements
Test development – protocols and pooling
parameters
Test validation – establish performance parameters
(sensitivity, specificity, reproducibility etc.)
Platform validation – performance and confidence
intervals including software validation
10
Intent Comparison
US - CLIA
• Regulate Laboratories –
limited scope.
• Test used that is not FDA
cleared/approved 
establish performance
characteristics before release
of test results.
• No oversight of clinical
validity.
• Oversight occurs through
biennial survey – after
testing has started.
• Test complexity framework.
US - FDA QSR (Potential)
• Regulate manufactures.
• Premarket clearance
evaluates clinical validity.
• Clinical validity – accuracy
with which the test
identifies, measures or
predicts the presence or
absence of a clinical
condition or predisposition in
a patient.
• Risk based framework.
11
Requirements Comparison
• Regulates LDTs made and used within a single facility.
• Focus on accurate reproducible and reliable tests.
• Requirement for analytical validation prior to use.
• Requirements for proficiency testing.
US - CLIA
• Address clinical validity
• Risk based approach to implementation.
• Process validation.
• Design verification and validation.
• Adverse Event Reporting.
• Device Listing and Pre-market Approval (for some devices).
US - FDA
QSR
(Proposed)
Canadian Regulations
• Accreditation of medical laboratories in Canada is regulated by
provincial health authorities, five of them having accreditation
bodies.
• Each of the bodies has developed its own standards implementing
ISO documents which generally follows ISO 15189 (balance of
business and technical assurance).
• Risk based scale to validation based on if the test is developed in
house, uses nonstandard methods, originates from scientific
literature or de novo.
• Requirements for proficiency testing.
• Importance of method validation.
Canada
(CAN-P-4E)
13
FDA QSR Verification and Validation (Sec. 820.30 Design controls)
• Validate device design under
standard operating parameters.
• Design input meets design output.
• Part of design history file.
Design
Verification
• Validate device design through
production units.
• Conform to intended use of product.
• Part of design history file.
Design
Validation
14
Cost, Risk and Technical Possibilities…
• More regulation may mean more cost but there are still opportunities for
innovation.
• There is opportunity for clinical laboratories to work with the FDA and
CLIA to develop an appropriate regulatory framework.
Cost
• The FDA’s plans to regulate LDTs are both risk based and to reduce risk.
• Most accreditation programs logically consider risk in the level of
validation required.
• Risks are changing, many LDT’s are moving beyond their traditional
boundaries.
Risk
• Development of new technologies.
• Changes to the standard of care.
• Increasing availability of reference materials, including HDx reference
materials.
Technical
Possibilities
15
Final Thoughts
Final Thoughts
• Use of reference materials can assist in
validation studies but there is still a strong
focus on use of patient specimens, in spite
of increasingly available reference materials.
• Where reference materials are mentioned,
these focus on cell line DNA over plasmids.
• The future for FDA regulation of LDTs is
being developed. The impact of this
regulation remains for debate.
16
Key Resources
Key Resources
• http://www.nature.com/ejhg/journal/v18/n12/full/ejhg2010101a.html
• http://www.horizondx.com/applications/applying-our-
formats/implementation-and-accreditation-of-iso-15189
• http://www.horizondx.com/applications/applying-our-formats/next-
generation-sequencing-guidelines-new-york-state
• ISO 15189:2007
• ISO 17025:2005
• http://www.fda.gov/downloads/MedicalDevices/DeviceRegulationandG
uidance/GuidanceDocuments/UCM416685.pdf
Case Study at Credit Valley Hospital
A Discussion About the Value of Including Low Positive DNA
Control in Each Assay
18
Methodology
 EGFR mutation status test: Entrogen commercially available kit
 Instrument: Roche LC480 Real Time PCR
 Allele discriminating assays rely upon the ability of the probes to bind correctly and
the software setting to correctly set a crossing point baseline
 Controls: HDx™ Reference Standards to
 Validate assay and establish detection
 Limits for each mutation
Assay Validation and Specific Crossing Points Cut-offs
20%
10%
5%
Percentage Control CP Mutation CP
L861Q
20% 30.35 29.66 30.37 30.58 30.66 30.45
10% 29.58 30.17 31.16 31.63 32.08 32.07
5% 29.50 29.72 31.94 32.82 33.18 33.26
1% 30.22 29.65 29.55 37.48 37.29 36.12
0% 29.39 29.20 30.26 n/a n/a n/a
1%
LOD Validation Curve with HDx™ Reference Standards EGFR L861Q
19
Validation Issues: Background Amplification in the G719X Reaction
Mutation Positive Control
Noise band
Patient (Cp 37)
 Negative control Cp can lead to a false positive
result for the patient
 Manually changing the baseline hides quality
issues such as inefficient probe binding or PCR
contamination in the blank
Mutation Negative Control
Mutation Negative Control
Noise band
20
 Inefficient probe binding and background noise is seen most in G719X and T790M
Validation Issue: Separation from Background Amplification CP Values
 T790M and G719X negative control and 1% Low Positive control values overlap
 Crossing point value from 2.5% DNA HDx™ Reference Standard for each mutation
provides best separation from background amplification
2.5% Crossing Point Value used as a cut off
Low Positive Control now included in each assay to remove false positives
20.0
22.0
24.0
26.0
28.0
30.0
32.0
34.0
36.0
38.0
40.0
T790M Exon 19del L858R L861Q G719X
2.5%
1%
Neg Ctl
21
CrossingPoint
EGFR Variant
Low Positive Control helps identify and correct false positives from Non-
Specific Probe Binding
EGFR G719X mutations were safely ruled out by use of the 2.5% cut-off value.
G719X Reaction
Kit PC (28.24)
2.5% Control (31.85)
Patient A (34.70)
Patient B
Negative Control
NTC
Added Value from Inclusion of a Low Positive Control
Inclusion of a 2.5% low positive control allows background
amplification to be ruled out
Background amplification can lead to false positive diagnostic
results
Big Picture
Cancer patients awaiting treatments from diagnostic results
False positives  TKI therapy for true EGFR WT patients
• Proven to be detrimental over first-line chemotherapy (Patton et al., 2014)
Diagnostic Test Issue: Low Mutation Content Below Cutoff
Should the 2.5% control crossing point be the absolute cut-off in all
cases?
When mutation is in a low percentage of cells in the specimen, the
crossing point will be high, and possibly above the 2.5% established
cutoff
How should a high crossing point value be evaluated?
Inverse
Relationship
24
Crossing Point (CP) Allelic Frequency %
in Tumor sample
Low Positive Control as Absolute Cut Off?
Patient 1: 58 year old female Metastatic lung cancer
• Mutation negative for all mutations except L858R
• L858R crossing point slightly higher than 2.5% control
• Qualitative assessment of amplification curve suggests true positive at about 1-2%
L858R Reaction
Kit PC (29.31)
Patient C (34.41)
2.5% Control (33.58)
Neg Ctl/NTC
Low Positive Control as Absolute Cut Off?
Patient 2: 58 Year old female with right lung adenocarcinoma
• Mutation negative except for Exon 19del
• Exon 19del crossing point slightly higher than 2.5% control
• Qualitative assessment suggests this is a true positive, at about 1-2%
Exon 19del Reaction
Kit PC (28.39)
2.5% Control (30.71)
Patient D (33.30)
Neg Ctl/NTC
Conclusion – Qualitative and Quantitative QC for each run needed
Patient Outcomes
Qualitative assessment suggests these are true positive results
Patients are receiving anti-EGFR therapy and both report feeling better, less
fatigue, still able to work
Conclusion
Crossing point values alone do not tell the whole story
False negatives can occur from absolute/quantitative use of 2.5% control
• Confidently ruled out by qualitative interpretation of patient amplification curve
False negative  chemotherapy for EGFR mutant patient
• Less effective than TKIs for patients with an EGFR variant (Patton et al, 2014)
Horizon Diagnostics is proud to support clinical laboratories with the provision of sustainable reference materials
for research use only; applications include the validation of equipment, consumables and laboratory developed
tests offline from patient testing, supporting the healthcare continuum for the regulators, payors, clinical
laboratory and ultimately the patient.
Analytical Utility of a Low Positive Control
Inclusion of a 2.5% low positive control allows elimination of false positives
Low positive controls supply a qualitative reference for true amplification
so that low positive results can be reported with confidence
Reduce the risk of false negative reports
It a QC check for each run
Provide consistency between patient EGFR mutation status experiments
28
Reduction in False Negatives and False Positive Results is needed for
better future PT results and diagnostic testing
2.5% Crossing Point Values Very Consistent Between Assays
T790M Exon19del L858R L861Q G719X
Kit Pos Ctl 28.13 29.17 29.87 28.73 28.36
2.50% 32.64 31.61 34.1 32.12 31.9
26
27
28
29
30
31
32
33
34
35
36
37
CrossingPoint
Control Crossing Points Comparison
29
95% confidence intervals for 17 different assays
Mean Crossing points of 2.5% Low positive control: +/- 0.26 (L858R) to +/- 0.56 (G719X)
The Value of a Low Positive Control at Credit Valley Hospital
Case study of how a Canadian clinical laboratory used RUO products to
validate their laboratory developed test
Credit Valley Hospital includes a 2.5% MAF reference standard for all their
EGFR diagnostic tests
• Individual EGFR Base-Seq DNA HDx™ Reference Standards are ordered and
pooled to a 2.5% mutant allelic frequency
• A Low Positive Control has also been implemented for the BRAF, KRAS and
NRAS testing at this laboratory
This gives them the confidence that their assay is working today, and also a
qualitative benchmark for true amplification when patient results are close
to cut off CT values
30
EGFR Low
Positive
Control
KRAS Low
Positive
Control
BRAF Low
Positive
Control
NRAS Low
Positive
Control
7
“The low positive control is critical to my confidence in the
lab’s diagnostic reporting and analytical results.”
Dr. Marsha Speevak, Discipline Lead
Molecular Genetics and Cytogenetics, Credit Valley Hospital,
Trillium Health Partners
What is the impact of assay failure
in your laboratory and how do
you monitor for it?
Assay Plate Set Up – Supplemental Data
 Credit Valley Uses 4 lanes of controls in their kit
1. Kit PC
2. Blank
3. Kit Negative
4. Horizon Dx pooled 2.5% Control

More Related Content

What's hot

Analytical method validation
Analytical method validationAnalytical method validation
Analytical method validationSai Praveen Reddy
 
Method validation
Method validationMethod validation
Method validationDrHinal
 
Quality assurance in medical laboratory
Quality assurance in medical laboratoryQuality assurance in medical laboratory
Quality assurance in medical laboratoryFaiz Alkhawlani
 
Total Quality Management (TQM) by Dr Anurag Yadav
Total Quality Management (TQM) by Dr Anurag YadavTotal Quality Management (TQM) by Dr Anurag Yadav
Total Quality Management (TQM) by Dr Anurag YadavDr Anurag Yadav
 
Variability of clinical chemistry laboratory results
Variability of clinical  chemistry laboratory resultsVariability of clinical  chemistry laboratory results
Variability of clinical chemistry laboratory resultsAdetokunboAjala
 
Quality control in clinical laboratories
Quality control in clinical laboratoriesQuality control in clinical laboratories
Quality control in clinical laboratoriesAshish Jawarkar
 
External Quality Control Lecture MD General 2014 Course, Clin Path Ain Shams ...
External Quality Control Lecture MD General 2014 Course, Clin Path Ain Shams ...External Quality Control Lecture MD General 2014 Course, Clin Path Ain Shams ...
External Quality Control Lecture MD General 2014 Course, Clin Path Ain Shams ...Adel Elazab Elged
 
Internal quality control (IQC) in coagulation lab
Internal quality control (IQC) in coagulation labInternal quality control (IQC) in coagulation lab
Internal quality control (IQC) in coagulation labAnkit Raiyani
 
Analytical methods validation as per ich & usp
Analytical methods validation as per ich & uspAnalytical methods validation as per ich & usp
Analytical methods validation as per ich & uspGANESH NIGADE
 
Data Analysis Of An Analytical Method Transfer To
Data Analysis Of An Analytical Method Transfer ToData Analysis Of An Analytical Method Transfer To
Data Analysis Of An Analytical Method Transfer ToDwayne Neal
 
Lecture , quality_control_in_clinical_biochemistry_laboratory
Lecture , quality_control_in_clinical_biochemistry_laboratoryLecture , quality_control_in_clinical_biochemistry_laboratory
Lecture , quality_control_in_clinical_biochemistry_laboratorytonnybite
 
Quality Control in Pathological Laboratory
Quality Control in Pathological LaboratoryQuality Control in Pathological Laboratory
Quality Control in Pathological Laboratorysanarehman8159
 
Analytical method validation
Analytical method validationAnalytical method validation
Analytical method validationTausif Momin
 
Quality assurance in the department of clinical biochemistry
Quality assurance in the department of clinical biochemistryQuality assurance in the department of clinical biochemistry
Quality assurance in the department of clinical biochemistryDipesh Tamrakar
 
Method Validation: What Are Its Key Parameters
Method Validation:What Are Its Key ParametersMethod Validation:What Are Its Key Parameters
Method Validation: What Are Its Key Parameterscomplianceonline123
 
Analytical Method Validation basics by Dr. A. Amsavel
Analytical Method Validation  basics by Dr. A. AmsavelAnalytical Method Validation  basics by Dr. A. Amsavel
Analytical Method Validation basics by Dr. A. AmsavelDr. Amsavel A
 

What's hot (20)

Analytical method validation
Analytical method validationAnalytical method validation
Analytical method validation
 
Method validation
Method validationMethod validation
Method validation
 
Quality assurance in medical laboratory
Quality assurance in medical laboratoryQuality assurance in medical laboratory
Quality assurance in medical laboratory
 
Total Quality Management (TQM) by Dr Anurag Yadav
Total Quality Management (TQM) by Dr Anurag YadavTotal Quality Management (TQM) by Dr Anurag Yadav
Total Quality Management (TQM) by Dr Anurag Yadav
 
Quality Control in Laboratory
Quality Control in LaboratoryQuality Control in Laboratory
Quality Control in Laboratory
 
Quality Control
Quality ControlQuality Control
Quality Control
 
Variability of clinical chemistry laboratory results
Variability of clinical  chemistry laboratory resultsVariability of clinical  chemistry laboratory results
Variability of clinical chemistry laboratory results
 
Quality control in clinical laboratories
Quality control in clinical laboratoriesQuality control in clinical laboratories
Quality control in clinical laboratories
 
External Quality Control Lecture MD General 2014 Course, Clin Path Ain Shams ...
External Quality Control Lecture MD General 2014 Course, Clin Path Ain Shams ...External Quality Control Lecture MD General 2014 Course, Clin Path Ain Shams ...
External Quality Control Lecture MD General 2014 Course, Clin Path Ain Shams ...
 
Internal quality control (IQC) in coagulation lab
Internal quality control (IQC) in coagulation labInternal quality control (IQC) in coagulation lab
Internal quality control (IQC) in coagulation lab
 
Analytical methods validation as per ich & usp
Analytical methods validation as per ich & uspAnalytical methods validation as per ich & usp
Analytical methods validation as per ich & usp
 
Data Analysis Of An Analytical Method Transfer To
Data Analysis Of An Analytical Method Transfer ToData Analysis Of An Analytical Method Transfer To
Data Analysis Of An Analytical Method Transfer To
 
Lecture , quality_control_in_clinical_biochemistry_laboratory
Lecture , quality_control_in_clinical_biochemistry_laboratoryLecture , quality_control_in_clinical_biochemistry_laboratory
Lecture , quality_control_in_clinical_biochemistry_laboratory
 
Quality Control in Pathological Laboratory
Quality Control in Pathological LaboratoryQuality Control in Pathological Laboratory
Quality Control in Pathological Laboratory
 
Analytical method validation
Analytical method validationAnalytical method validation
Analytical method validation
 
Analytical method validation
Analytical method validation Analytical method validation
Analytical method validation
 
Quality assurance in the department of clinical biochemistry
Quality assurance in the department of clinical biochemistryQuality assurance in the department of clinical biochemistry
Quality assurance in the department of clinical biochemistry
 
Method Validation: What Are Its Key Parameters
Method Validation:What Are Its Key ParametersMethod Validation:What Are Its Key Parameters
Method Validation: What Are Its Key Parameters
 
Analytical Method Validation basics by Dr. A. Amsavel
Analytical Method Validation  basics by Dr. A. AmsavelAnalytical Method Validation  basics by Dr. A. Amsavel
Analytical Method Validation basics by Dr. A. Amsavel
 
WESTGARD RULES
WESTGARD RULESWESTGARD RULES
WESTGARD RULES
 

Viewers also liked

Sample sap mm pp course material
Sample sap mm pp course materialSample sap mm pp course material
Sample sap mm pp course materialmgr1331
 
Stock verification PPt
Stock verification PPtStock verification PPt
Stock verification PPtNagendra N
 
Unit 4 biomedical
Unit 4 biomedicalUnit 4 biomedical
Unit 4 biomedicalAnu Antony
 
Instrumentational Amplifier
Instrumentational Amplifier Instrumentational Amplifier
Instrumentational Amplifier ZunAib Ali
 
Process Validation of API
Process Validation of APIProcess Validation of API
Process Validation of APIsrirao3462
 
Quality control in clinical laboratory
Quality control in clinical laboratoryQuality control in clinical laboratory
Quality control in clinical laboratorydrgomi basar
 

Viewers also liked (10)

Sample sap mm pp course material
Sample sap mm pp course materialSample sap mm pp course material
Sample sap mm pp course material
 
Iffco Kalol Unit
Iffco Kalol UnitIffco Kalol Unit
Iffco Kalol Unit
 
Stock verification PPt
Stock verification PPtStock verification PPt
Stock verification PPt
 
Unit 4 biomedical
Unit 4 biomedicalUnit 4 biomedical
Unit 4 biomedical
 
Instrumentational Amplifier
Instrumentational Amplifier Instrumentational Amplifier
Instrumentational Amplifier
 
Presentation on vouching and verification
Presentation on vouching and verificationPresentation on vouching and verification
Presentation on vouching and verification
 
Process Validation of API
Process Validation of APIProcess Validation of API
Process Validation of API
 
Pharmaceutical Process validation
Pharmaceutical Process validationPharmaceutical Process validation
Pharmaceutical Process validation
 
Stores Management
Stores  ManagementStores  Management
Stores Management
 
Quality control in clinical laboratory
Quality control in clinical laboratoryQuality control in clinical laboratory
Quality control in clinical laboratory
 

Similar to Using reference materials to meet validation & verification requirements for clinical laboratory procedures

Health economic modelling in the diagnostics development process
Health economic modelling in the diagnostics development processHealth economic modelling in the diagnostics development process
Health economic modelling in the diagnostics development processcheweb1
 
Molecular QC: Using Reference Standards in NGS Pipelines
Molecular QC: Using Reference Standards in NGS PipelinesMolecular QC: Using Reference Standards in NGS Pipelines
Molecular QC: Using Reference Standards in NGS PipelinesCandy Smellie
 
Establishing Performance Standards
Establishing Performance StandardsEstablishing Performance Standards
Establishing Performance StandardsHaythamHagrass
 
What can we learn from oncologists? A survey of molecular testing patterns
What can we learn from oncologists? A survey of molecular testing patternsWhat can we learn from oncologists? A survey of molecular testing patterns
What can we learn from oncologists? A survey of molecular testing patternsThermo Fisher Scientific
 
Cancer Research & the Challenges of FFPE Samples – An Introduction
Cancer Research & the Challenges of FFPE Samples – An IntroductionCancer Research & the Challenges of FFPE Samples – An Introduction
Cancer Research & the Challenges of FFPE Samples – An IntroductionQIAGEN
 
VarSeq 2.3.0: New TSO-500 and Genomic Signature Support in VSClinical AMP
VarSeq 2.3.0: New TSO-500 and Genomic Signature Support in VSClinical AMPVarSeq 2.3.0: New TSO-500 and Genomic Signature Support in VSClinical AMP
VarSeq 2.3.0: New TSO-500 and Genomic Signature Support in VSClinical AMPGolden Helix
 
DOSE VF.pptx
DOSE VF.pptxDOSE VF.pptx
DOSE VF.pptxArunDeva8
 
Point Of Care Testing
Point Of Care TestingPoint Of Care Testing
Point Of Care TestingLAB IDEA
 
Integrating Laboratory Services
Integrating Laboratory ServicesIntegrating Laboratory Services
Integrating Laboratory ServicesMedpace
 
Colorectal Cancer Screening for Family Physicians - What's New
Colorectal Cancer Screening for Family Physicians - What's NewColorectal Cancer Screening for Family Physicians - What's New
Colorectal Cancer Screening for Family Physicians - What's NewJarrod Lee
 
Development of quality control assays for cell-based medicinal products (ISCT...
Development of quality control assays for cell-based medicinal products (ISCT...Development of quality control assays for cell-based medicinal products (ISCT...
Development of quality control assays for cell-based medicinal products (ISCT...Quality Assistance s.a.
 
691632.ppt
691632.ppt691632.ppt
691632.pptShinee13
 
Update on the Adoption and Utilization of Emerging Precision Medicine Biomark...
Update on the Adoption and Utilization of Emerging Precision Medicine Biomark...Update on the Adoption and Utilization of Emerging Precision Medicine Biomark...
Update on the Adoption and Utilization of Emerging Precision Medicine Biomark...Andrew Aijian
 
Technology Assessment/Outcome & Cost-Effectiveness Analysis 2016
Technology Assessment/Outcome & Cost-Effectiveness Analysis 2016Technology Assessment/Outcome & Cost-Effectiveness Analysis 2016
Technology Assessment/Outcome & Cost-Effectiveness Analysis 2016evadew1
 
Webinar: Is Phase-Appropriate Validation the Right Choice for your Cell or Ge...
Webinar: Is Phase-Appropriate Validation the Right Choice for your Cell or Ge...Webinar: Is Phase-Appropriate Validation the Right Choice for your Cell or Ge...
Webinar: Is Phase-Appropriate Validation the Right Choice for your Cell or Ge...MilliporeSigma
 
Webinar: Is Phase-Appropriate Validation the Right Choice for your Cell or Ge...
Webinar: Is Phase-Appropriate Validation the Right Choice for your Cell or Ge...Webinar: Is Phase-Appropriate Validation the Right Choice for your Cell or Ge...
Webinar: Is Phase-Appropriate Validation the Right Choice for your Cell or Ge...Merck Life Sciences
 
The clinical application development and validation of cell free dna assays -...
The clinical application development and validation of cell free dna assays -...The clinical application development and validation of cell free dna assays -...
The clinical application development and validation of cell free dna assays -...Candy Smellie
 

Similar to Using reference materials to meet validation & verification requirements for clinical laboratory procedures (20)

Health economic modelling in the diagnostics development process
Health economic modelling in the diagnostics development processHealth economic modelling in the diagnostics development process
Health economic modelling in the diagnostics development process
 
Molecular QC: Using Reference Standards in NGS Pipelines
Molecular QC: Using Reference Standards in NGS PipelinesMolecular QC: Using Reference Standards in NGS Pipelines
Molecular QC: Using Reference Standards in NGS Pipelines
 
Invest to End TB. Save Lives
Invest to End TB. Save LivesInvest to End TB. Save Lives
Invest to End TB. Save Lives
 
Establishing Performance Standards
Establishing Performance StandardsEstablishing Performance Standards
Establishing Performance Standards
 
What can we learn from oncologists? A survey of molecular testing patterns
What can we learn from oncologists? A survey of molecular testing patternsWhat can we learn from oncologists? A survey of molecular testing patterns
What can we learn from oncologists? A survey of molecular testing patterns
 
Cancer Research & the Challenges of FFPE Samples – An Introduction
Cancer Research & the Challenges of FFPE Samples – An IntroductionCancer Research & the Challenges of FFPE Samples – An Introduction
Cancer Research & the Challenges of FFPE Samples – An Introduction
 
New Horizons in EGFR-Mutated NSCLC: Broadening the Impact of Precision Testin...
New Horizons in EGFR-Mutated NSCLC: Broadening the Impact of Precision Testin...New Horizons in EGFR-Mutated NSCLC: Broadening the Impact of Precision Testin...
New Horizons in EGFR-Mutated NSCLC: Broadening the Impact of Precision Testin...
 
VarSeq 2.3.0: New TSO-500 and Genomic Signature Support in VSClinical AMP
VarSeq 2.3.0: New TSO-500 and Genomic Signature Support in VSClinical AMPVarSeq 2.3.0: New TSO-500 and Genomic Signature Support in VSClinical AMP
VarSeq 2.3.0: New TSO-500 and Genomic Signature Support in VSClinical AMP
 
DOSE VF.pptx
DOSE VF.pptxDOSE VF.pptx
DOSE VF.pptx
 
C Diff
C DiffC Diff
C Diff
 
Point Of Care Testing
Point Of Care TestingPoint Of Care Testing
Point Of Care Testing
 
Integrating Laboratory Services
Integrating Laboratory ServicesIntegrating Laboratory Services
Integrating Laboratory Services
 
Colorectal Cancer Screening for Family Physicians - What's New
Colorectal Cancer Screening for Family Physicians - What's NewColorectal Cancer Screening for Family Physicians - What's New
Colorectal Cancer Screening for Family Physicians - What's New
 
Development of quality control assays for cell-based medicinal products (ISCT...
Development of quality control assays for cell-based medicinal products (ISCT...Development of quality control assays for cell-based medicinal products (ISCT...
Development of quality control assays for cell-based medicinal products (ISCT...
 
691632.ppt
691632.ppt691632.ppt
691632.ppt
 
Update on the Adoption and Utilization of Emerging Precision Medicine Biomark...
Update on the Adoption and Utilization of Emerging Precision Medicine Biomark...Update on the Adoption and Utilization of Emerging Precision Medicine Biomark...
Update on the Adoption and Utilization of Emerging Precision Medicine Biomark...
 
Technology Assessment/Outcome & Cost-Effectiveness Analysis 2016
Technology Assessment/Outcome & Cost-Effectiveness Analysis 2016Technology Assessment/Outcome & Cost-Effectiveness Analysis 2016
Technology Assessment/Outcome & Cost-Effectiveness Analysis 2016
 
Webinar: Is Phase-Appropriate Validation the Right Choice for your Cell or Ge...
Webinar: Is Phase-Appropriate Validation the Right Choice for your Cell or Ge...Webinar: Is Phase-Appropriate Validation the Right Choice for your Cell or Ge...
Webinar: Is Phase-Appropriate Validation the Right Choice for your Cell or Ge...
 
Webinar: Is Phase-Appropriate Validation the Right Choice for your Cell or Ge...
Webinar: Is Phase-Appropriate Validation the Right Choice for your Cell or Ge...Webinar: Is Phase-Appropriate Validation the Right Choice for your Cell or Ge...
Webinar: Is Phase-Appropriate Validation the Right Choice for your Cell or Ge...
 
The clinical application development and validation of cell free dna assays -...
The clinical application development and validation of cell free dna assays -...The clinical application development and validation of cell free dna assays -...
The clinical application development and validation of cell free dna assays -...
 

More from Candy Smellie

Blueprints to blue sky – analyzing the challenges and solutions for IHC compa...
Blueprints to blue sky – analyzing the challenges and solutions for IHC compa...Blueprints to blue sky – analyzing the challenges and solutions for IHC compa...
Blueprints to blue sky – analyzing the challenges and solutions for IHC compa...Candy Smellie
 
Understanding and controlling for sample and platform biases in NGS assays
Understanding and controlling for sample and platform biases in NGS assaysUnderstanding and controlling for sample and platform biases in NGS assays
Understanding and controlling for sample and platform biases in NGS assaysCandy Smellie
 
Resolving Ambiguity in Target ID Screens - CRISPR-Cas9 Based Essentiality Pro...
Resolving Ambiguity in Target ID Screens - CRISPR-Cas9 Based Essentiality Pro...Resolving Ambiguity in Target ID Screens - CRISPR-Cas9 Based Essentiality Pro...
Resolving Ambiguity in Target ID Screens - CRISPR-Cas9 Based Essentiality Pro...Candy Smellie
 
Molecular QC: Interpreting your Bioinformatics Pipeline
Molecular QC: Interpreting your Bioinformatics PipelineMolecular QC: Interpreting your Bioinformatics Pipeline
Molecular QC: Interpreting your Bioinformatics PipelineCandy Smellie
 
Identification and Prioritization of Drug Combinations for Treatment of Cancer
Identification and Prioritization of Drug Combinations for Treatment of CancerIdentification and Prioritization of Drug Combinations for Treatment of Cancer
Identification and Prioritization of Drug Combinations for Treatment of CancerCandy Smellie
 
Improving Immunohistochemistry Standardization in your Laboratory: Renewable ...
Improving Immunohistochemistry Standardization in your Laboratory: Renewable ...Improving Immunohistochemistry Standardization in your Laboratory: Renewable ...
Improving Immunohistochemistry Standardization in your Laboratory: Renewable ...Candy Smellie
 
Cell Free DNA comes to the Clinic
Cell Free DNA comes to the ClinicCell Free DNA comes to the Clinic
Cell Free DNA comes to the ClinicCandy Smellie
 
Genome Editing Comes of Age; CRISPR, rAAV and the new landscape of molecular ...
Genome Editing Comes of Age; CRISPR, rAAV and the new landscape of molecular ...Genome Editing Comes of Age; CRISPR, rAAV and the new landscape of molecular ...
Genome Editing Comes of Age; CRISPR, rAAV and the new landscape of molecular ...Candy Smellie
 
Addressing the Pre-PCR Analytical Variability of FFPE Samples
Addressing the Pre-PCR Analytical Variability of FFPE SamplesAddressing the Pre-PCR Analytical Variability of FFPE Samples
Addressing the Pre-PCR Analytical Variability of FFPE SamplesCandy Smellie
 
Genome Editing Comes of Age
Genome Editing Comes of AgeGenome Editing Comes of Age
Genome Editing Comes of AgeCandy Smellie
 
CRISPR: Gene editing for everyone
CRISPR: Gene editing for everyoneCRISPR: Gene editing for everyone
CRISPR: Gene editing for everyoneCandy Smellie
 
RNA-based screening in drug discovery – introducing sgRNA technologies
RNA-based screening in drug discovery – introducing sgRNA technologiesRNA-based screening in drug discovery – introducing sgRNA technologies
RNA-based screening in drug discovery – introducing sgRNA technologiesCandy Smellie
 
To assess the effect of formalin on genomic DNA and assay performance for som...
To assess the effect of formalin on genomic DNA and assay performance for som...To assess the effect of formalin on genomic DNA and assay performance for som...
To assess the effect of formalin on genomic DNA and assay performance for som...Candy Smellie
 
Overview of Quality Management System
Overview of Quality Management SystemOverview of Quality Management System
Overview of Quality Management SystemCandy Smellie
 
HDx™ Reference Standards and Reference Materials for Next Generation Sequenci...
HDx™ Reference Standards and Reference Materials for Next Generation Sequenci...HDx™ Reference Standards and Reference Materials for Next Generation Sequenci...
HDx™ Reference Standards and Reference Materials for Next Generation Sequenci...Candy Smellie
 
Translating Genomes | Personalizing Medicine
Translating Genomes | Personalizing MedicineTranslating Genomes | Personalizing Medicine
Translating Genomes | Personalizing MedicineCandy Smellie
 
Translating Genomes | Personalizing Medicine
Translating Genomes | Personalizing MedicineTranslating Genomes | Personalizing Medicine
Translating Genomes | Personalizing MedicineCandy Smellie
 
CRISPR - gene-editing for everyone
CRISPR - gene-editing for everyoneCRISPR - gene-editing for everyone
CRISPR - gene-editing for everyoneCandy Smellie
 
GENASSIST™ CRISPR & rAAV Genome Editing Tools
GENASSIST™ CRISPR & rAAV Genome Editing ToolsGENASSIST™ CRISPR & rAAV Genome Editing Tools
GENASSIST™ CRISPR & rAAV Genome Editing ToolsCandy Smellie
 

More from Candy Smellie (19)

Blueprints to blue sky – analyzing the challenges and solutions for IHC compa...
Blueprints to blue sky – analyzing the challenges and solutions for IHC compa...Blueprints to blue sky – analyzing the challenges and solutions for IHC compa...
Blueprints to blue sky – analyzing the challenges and solutions for IHC compa...
 
Understanding and controlling for sample and platform biases in NGS assays
Understanding and controlling for sample and platform biases in NGS assaysUnderstanding and controlling for sample and platform biases in NGS assays
Understanding and controlling for sample and platform biases in NGS assays
 
Resolving Ambiguity in Target ID Screens - CRISPR-Cas9 Based Essentiality Pro...
Resolving Ambiguity in Target ID Screens - CRISPR-Cas9 Based Essentiality Pro...Resolving Ambiguity in Target ID Screens - CRISPR-Cas9 Based Essentiality Pro...
Resolving Ambiguity in Target ID Screens - CRISPR-Cas9 Based Essentiality Pro...
 
Molecular QC: Interpreting your Bioinformatics Pipeline
Molecular QC: Interpreting your Bioinformatics PipelineMolecular QC: Interpreting your Bioinformatics Pipeline
Molecular QC: Interpreting your Bioinformatics Pipeline
 
Identification and Prioritization of Drug Combinations for Treatment of Cancer
Identification and Prioritization of Drug Combinations for Treatment of CancerIdentification and Prioritization of Drug Combinations for Treatment of Cancer
Identification and Prioritization of Drug Combinations for Treatment of Cancer
 
Improving Immunohistochemistry Standardization in your Laboratory: Renewable ...
Improving Immunohistochemistry Standardization in your Laboratory: Renewable ...Improving Immunohistochemistry Standardization in your Laboratory: Renewable ...
Improving Immunohistochemistry Standardization in your Laboratory: Renewable ...
 
Cell Free DNA comes to the Clinic
Cell Free DNA comes to the ClinicCell Free DNA comes to the Clinic
Cell Free DNA comes to the Clinic
 
Genome Editing Comes of Age; CRISPR, rAAV and the new landscape of molecular ...
Genome Editing Comes of Age; CRISPR, rAAV and the new landscape of molecular ...Genome Editing Comes of Age; CRISPR, rAAV and the new landscape of molecular ...
Genome Editing Comes of Age; CRISPR, rAAV and the new landscape of molecular ...
 
Addressing the Pre-PCR Analytical Variability of FFPE Samples
Addressing the Pre-PCR Analytical Variability of FFPE SamplesAddressing the Pre-PCR Analytical Variability of FFPE Samples
Addressing the Pre-PCR Analytical Variability of FFPE Samples
 
Genome Editing Comes of Age
Genome Editing Comes of AgeGenome Editing Comes of Age
Genome Editing Comes of Age
 
CRISPR: Gene editing for everyone
CRISPR: Gene editing for everyoneCRISPR: Gene editing for everyone
CRISPR: Gene editing for everyone
 
RNA-based screening in drug discovery – introducing sgRNA technologies
RNA-based screening in drug discovery – introducing sgRNA technologiesRNA-based screening in drug discovery – introducing sgRNA technologies
RNA-based screening in drug discovery – introducing sgRNA technologies
 
To assess the effect of formalin on genomic DNA and assay performance for som...
To assess the effect of formalin on genomic DNA and assay performance for som...To assess the effect of formalin on genomic DNA and assay performance for som...
To assess the effect of formalin on genomic DNA and assay performance for som...
 
Overview of Quality Management System
Overview of Quality Management SystemOverview of Quality Management System
Overview of Quality Management System
 
HDx™ Reference Standards and Reference Materials for Next Generation Sequenci...
HDx™ Reference Standards and Reference Materials for Next Generation Sequenci...HDx™ Reference Standards and Reference Materials for Next Generation Sequenci...
HDx™ Reference Standards and Reference Materials for Next Generation Sequenci...
 
Translating Genomes | Personalizing Medicine
Translating Genomes | Personalizing MedicineTranslating Genomes | Personalizing Medicine
Translating Genomes | Personalizing Medicine
 
Translating Genomes | Personalizing Medicine
Translating Genomes | Personalizing MedicineTranslating Genomes | Personalizing Medicine
Translating Genomes | Personalizing Medicine
 
CRISPR - gene-editing for everyone
CRISPR - gene-editing for everyoneCRISPR - gene-editing for everyone
CRISPR - gene-editing for everyone
 
GENASSIST™ CRISPR & rAAV Genome Editing Tools
GENASSIST™ CRISPR & rAAV Genome Editing ToolsGENASSIST™ CRISPR & rAAV Genome Editing Tools
GENASSIST™ CRISPR & rAAV Genome Editing Tools
 

Recently uploaded

Boyles law module in the grade 10 science
Boyles law module in the grade 10 scienceBoyles law module in the grade 10 science
Boyles law module in the grade 10 sciencefloriejanemacaya1
 
Lucknow 💋 Russian Call Girls Lucknow Finest Escorts Service 8923113531 Availa...
Lucknow 💋 Russian Call Girls Lucknow Finest Escorts Service 8923113531 Availa...Lucknow 💋 Russian Call Girls Lucknow Finest Escorts Service 8923113531 Availa...
Lucknow 💋 Russian Call Girls Lucknow Finest Escorts Service 8923113531 Availa...anilsa9823
 
Biological Classification BioHack (3).pdf
Biological Classification BioHack (3).pdfBiological Classification BioHack (3).pdf
Biological Classification BioHack (3).pdfmuntazimhurra
 
Is RISC-V ready for HPC workload? Maybe?
Is RISC-V ready for HPC workload? Maybe?Is RISC-V ready for HPC workload? Maybe?
Is RISC-V ready for HPC workload? Maybe?Patrick Diehl
 
Behavioral Disorder: Schizophrenia & it's Case Study.pdf
Behavioral Disorder: Schizophrenia & it's Case Study.pdfBehavioral Disorder: Schizophrenia & it's Case Study.pdf
Behavioral Disorder: Schizophrenia & it's Case Study.pdfSELF-EXPLANATORY
 
Stunning ➥8448380779▻ Call Girls In Panchshil Enclave Delhi NCR
Stunning ➥8448380779▻ Call Girls In Panchshil Enclave Delhi NCRStunning ➥8448380779▻ Call Girls In Panchshil Enclave Delhi NCR
Stunning ➥8448380779▻ Call Girls In Panchshil Enclave Delhi NCRDelhi Call girls
 
GFP in rDNA Technology (Biotechnology).pptx
GFP in rDNA Technology (Biotechnology).pptxGFP in rDNA Technology (Biotechnology).pptx
GFP in rDNA Technology (Biotechnology).pptxAleenaTreesaSaji
 
Unlocking the Potential: Deep dive into ocean of Ceramic Magnets.pptx
Unlocking  the Potential: Deep dive into ocean of Ceramic Magnets.pptxUnlocking  the Potential: Deep dive into ocean of Ceramic Magnets.pptx
Unlocking the Potential: Deep dive into ocean of Ceramic Magnets.pptxanandsmhk
 
Recombinant DNA technology (Immunological screening)
Recombinant DNA technology (Immunological screening)Recombinant DNA technology (Immunological screening)
Recombinant DNA technology (Immunological screening)PraveenaKalaiselvan1
 
Traditional Agroforestry System in India- Shifting Cultivation, Taungya, Home...
Traditional Agroforestry System in India- Shifting Cultivation, Taungya, Home...Traditional Agroforestry System in India- Shifting Cultivation, Taungya, Home...
Traditional Agroforestry System in India- Shifting Cultivation, Taungya, Home...jana861314
 
Work, Energy and Power for class 10 ICSE Physics
Work, Energy and Power for class 10 ICSE PhysicsWork, Energy and Power for class 10 ICSE Physics
Work, Energy and Power for class 10 ICSE Physicsvishikhakeshava1
 
Call Us ≽ 9953322196 ≼ Call Girls In Mukherjee Nagar(Delhi) |
Call Us ≽ 9953322196 ≼ Call Girls In Mukherjee Nagar(Delhi) |Call Us ≽ 9953322196 ≼ Call Girls In Mukherjee Nagar(Delhi) |
Call Us ≽ 9953322196 ≼ Call Girls In Mukherjee Nagar(Delhi) |aasikanpl
 
Biopesticide (2).pptx .This slides helps to know the different types of biop...
Biopesticide (2).pptx  .This slides helps to know the different types of biop...Biopesticide (2).pptx  .This slides helps to know the different types of biop...
Biopesticide (2).pptx .This slides helps to know the different types of biop...RohitNehra6
 
Bentham & Hooker's Classification. along with the merits and demerits of the ...
Bentham & Hooker's Classification. along with the merits and demerits of the ...Bentham & Hooker's Classification. along with the merits and demerits of the ...
Bentham & Hooker's Classification. along with the merits and demerits of the ...Nistarini College, Purulia (W.B) India
 
Call Girls in Munirka Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Munirka Delhi 💯Call Us 🔝8264348440🔝Call Girls in Munirka Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Munirka Delhi 💯Call Us 🔝8264348440🔝soniya singh
 
Artificial Intelligence In Microbiology by Dr. Prince C P
Artificial Intelligence In Microbiology by Dr. Prince C PArtificial Intelligence In Microbiology by Dr. Prince C P
Artificial Intelligence In Microbiology by Dr. Prince C PPRINCE C P
 
Nanoparticles synthesis and characterization​ ​
Nanoparticles synthesis and characterization​  ​Nanoparticles synthesis and characterization​  ​
Nanoparticles synthesis and characterization​ ​kaibalyasahoo82800
 
Orientation, design and principles of polyhouse
Orientation, design and principles of polyhouseOrientation, design and principles of polyhouse
Orientation, design and principles of polyhousejana861314
 
Analytical Profile of Coleus Forskohlii | Forskolin .pdf
Analytical Profile of Coleus Forskohlii | Forskolin .pdfAnalytical Profile of Coleus Forskohlii | Forskolin .pdf
Analytical Profile of Coleus Forskohlii | Forskolin .pdfSwapnil Therkar
 

Recently uploaded (20)

Boyles law module in the grade 10 science
Boyles law module in the grade 10 scienceBoyles law module in the grade 10 science
Boyles law module in the grade 10 science
 
Lucknow 💋 Russian Call Girls Lucknow Finest Escorts Service 8923113531 Availa...
Lucknow 💋 Russian Call Girls Lucknow Finest Escorts Service 8923113531 Availa...Lucknow 💋 Russian Call Girls Lucknow Finest Escorts Service 8923113531 Availa...
Lucknow 💋 Russian Call Girls Lucknow Finest Escorts Service 8923113531 Availa...
 
Biological Classification BioHack (3).pdf
Biological Classification BioHack (3).pdfBiological Classification BioHack (3).pdf
Biological Classification BioHack (3).pdf
 
Is RISC-V ready for HPC workload? Maybe?
Is RISC-V ready for HPC workload? Maybe?Is RISC-V ready for HPC workload? Maybe?
Is RISC-V ready for HPC workload? Maybe?
 
Behavioral Disorder: Schizophrenia & it's Case Study.pdf
Behavioral Disorder: Schizophrenia & it's Case Study.pdfBehavioral Disorder: Schizophrenia & it's Case Study.pdf
Behavioral Disorder: Schizophrenia & it's Case Study.pdf
 
Stunning ➥8448380779▻ Call Girls In Panchshil Enclave Delhi NCR
Stunning ➥8448380779▻ Call Girls In Panchshil Enclave Delhi NCRStunning ➥8448380779▻ Call Girls In Panchshil Enclave Delhi NCR
Stunning ➥8448380779▻ Call Girls In Panchshil Enclave Delhi NCR
 
GFP in rDNA Technology (Biotechnology).pptx
GFP in rDNA Technology (Biotechnology).pptxGFP in rDNA Technology (Biotechnology).pptx
GFP in rDNA Technology (Biotechnology).pptx
 
Unlocking the Potential: Deep dive into ocean of Ceramic Magnets.pptx
Unlocking  the Potential: Deep dive into ocean of Ceramic Magnets.pptxUnlocking  the Potential: Deep dive into ocean of Ceramic Magnets.pptx
Unlocking the Potential: Deep dive into ocean of Ceramic Magnets.pptx
 
Recombinant DNA technology (Immunological screening)
Recombinant DNA technology (Immunological screening)Recombinant DNA technology (Immunological screening)
Recombinant DNA technology (Immunological screening)
 
Traditional Agroforestry System in India- Shifting Cultivation, Taungya, Home...
Traditional Agroforestry System in India- Shifting Cultivation, Taungya, Home...Traditional Agroforestry System in India- Shifting Cultivation, Taungya, Home...
Traditional Agroforestry System in India- Shifting Cultivation, Taungya, Home...
 
Work, Energy and Power for class 10 ICSE Physics
Work, Energy and Power for class 10 ICSE PhysicsWork, Energy and Power for class 10 ICSE Physics
Work, Energy and Power for class 10 ICSE Physics
 
The Philosophy of Science
The Philosophy of ScienceThe Philosophy of Science
The Philosophy of Science
 
Call Us ≽ 9953322196 ≼ Call Girls In Mukherjee Nagar(Delhi) |
Call Us ≽ 9953322196 ≼ Call Girls In Mukherjee Nagar(Delhi) |Call Us ≽ 9953322196 ≼ Call Girls In Mukherjee Nagar(Delhi) |
Call Us ≽ 9953322196 ≼ Call Girls In Mukherjee Nagar(Delhi) |
 
Biopesticide (2).pptx .This slides helps to know the different types of biop...
Biopesticide (2).pptx  .This slides helps to know the different types of biop...Biopesticide (2).pptx  .This slides helps to know the different types of biop...
Biopesticide (2).pptx .This slides helps to know the different types of biop...
 
Bentham & Hooker's Classification. along with the merits and demerits of the ...
Bentham & Hooker's Classification. along with the merits and demerits of the ...Bentham & Hooker's Classification. along with the merits and demerits of the ...
Bentham & Hooker's Classification. along with the merits and demerits of the ...
 
Call Girls in Munirka Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Munirka Delhi 💯Call Us 🔝8264348440🔝Call Girls in Munirka Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Munirka Delhi 💯Call Us 🔝8264348440🔝
 
Artificial Intelligence In Microbiology by Dr. Prince C P
Artificial Intelligence In Microbiology by Dr. Prince C PArtificial Intelligence In Microbiology by Dr. Prince C P
Artificial Intelligence In Microbiology by Dr. Prince C P
 
Nanoparticles synthesis and characterization​ ​
Nanoparticles synthesis and characterization​  ​Nanoparticles synthesis and characterization​  ​
Nanoparticles synthesis and characterization​ ​
 
Orientation, design and principles of polyhouse
Orientation, design and principles of polyhouseOrientation, design and principles of polyhouse
Orientation, design and principles of polyhouse
 
Analytical Profile of Coleus Forskohlii | Forskolin .pdf
Analytical Profile of Coleus Forskohlii | Forskolin .pdfAnalytical Profile of Coleus Forskohlii | Forskolin .pdf
Analytical Profile of Coleus Forskohlii | Forskolin .pdf
 

Using reference materials to meet validation & verification requirements for clinical laboratory procedures

  • 1. Using Reference Materials to Meet Validation and Verification Requirements
  • 2. 5 Bio-Specimens used in Molecular Diagnostics  Most clinical tissue samples are preserved in FFPE  FFPE samples are now being used for molecular diagnostic testing  FFPE based studies: every specimen is different in terms of % tumor contribution to the specimen and % mutation contribution to the tumor • Therapeutic choices are made based upon these results • False positive and false negative results are detrimental to the patient FFPE Sample Cancer Patient DNA Extraction Diagnosis
  • 3. 3 External Quality Assessment Proficiency Testing Scheme - 2014 Only 70% of laboratories passed the proficiency test. False -negatives and false-positives were the main sources of error. 0 5 10 15 20 25 30 35 40 PercentageofIncorrectResults EGFR Sample Tested EGFR Genotyping Errors External Quality Assessment 2014
  • 4. What is the impact of assay failure in your laboratory and how do you monitor for it? 7
  • 5. 5 HDx™ Reference Standards - Precise Allelic FrequenciesReference Slide FFPE Reference Standards IHC Reference Slides FISH Reference Slides DNA Reference Standards Tumor sample Diagnosis Therapy DNA extraction GenotypingCytogenetics Histology
  • 6. Validation: Cost, Risk and Technical Possibilities…
  • 7. 7 The Validation Balance “Validation is always a balance between costs, risks and technical possibilities”. (CAN-P-4E: clause 5.4.5.3- Note 3)
  • 8. 8 Verification and Validation Definitions • Confirmation by examination and provision of objective evidence that the particular requirements for a specific intended use are fulfilled. Verification (ISO 9000) • Confirmation by examination and provision of objective evidence that specified requirements have been fulfilled. Validation (ISO 9000) • Safe and useful service to clinicians and patients. • Validation is more than a one time activity and if used continually can improve the assessment of test accuracy and performance. Purpose
  • 9. 9 General Validation Requirements General Validation Requirements Test development – protocols and pooling parameters Test validation – establish performance parameters (sensitivity, specificity, reproducibility etc.) Platform validation – performance and confidence intervals including software validation
  • 10. 10 Intent Comparison US - CLIA • Regulate Laboratories – limited scope. • Test used that is not FDA cleared/approved  establish performance characteristics before release of test results. • No oversight of clinical validity. • Oversight occurs through biennial survey – after testing has started. • Test complexity framework. US - FDA QSR (Potential) • Regulate manufactures. • Premarket clearance evaluates clinical validity. • Clinical validity – accuracy with which the test identifies, measures or predicts the presence or absence of a clinical condition or predisposition in a patient. • Risk based framework.
  • 11. 11 Requirements Comparison • Regulates LDTs made and used within a single facility. • Focus on accurate reproducible and reliable tests. • Requirement for analytical validation prior to use. • Requirements for proficiency testing. US - CLIA • Address clinical validity • Risk based approach to implementation. • Process validation. • Design verification and validation. • Adverse Event Reporting. • Device Listing and Pre-market Approval (for some devices). US - FDA QSR (Proposed)
  • 12. Canadian Regulations • Accreditation of medical laboratories in Canada is regulated by provincial health authorities, five of them having accreditation bodies. • Each of the bodies has developed its own standards implementing ISO documents which generally follows ISO 15189 (balance of business and technical assurance). • Risk based scale to validation based on if the test is developed in house, uses nonstandard methods, originates from scientific literature or de novo. • Requirements for proficiency testing. • Importance of method validation. Canada (CAN-P-4E)
  • 13. 13 FDA QSR Verification and Validation (Sec. 820.30 Design controls) • Validate device design under standard operating parameters. • Design input meets design output. • Part of design history file. Design Verification • Validate device design through production units. • Conform to intended use of product. • Part of design history file. Design Validation
  • 14. 14 Cost, Risk and Technical Possibilities… • More regulation may mean more cost but there are still opportunities for innovation. • There is opportunity for clinical laboratories to work with the FDA and CLIA to develop an appropriate regulatory framework. Cost • The FDA’s plans to regulate LDTs are both risk based and to reduce risk. • Most accreditation programs logically consider risk in the level of validation required. • Risks are changing, many LDT’s are moving beyond their traditional boundaries. Risk • Development of new technologies. • Changes to the standard of care. • Increasing availability of reference materials, including HDx reference materials. Technical Possibilities
  • 15. 15 Final Thoughts Final Thoughts • Use of reference materials can assist in validation studies but there is still a strong focus on use of patient specimens, in spite of increasingly available reference materials. • Where reference materials are mentioned, these focus on cell line DNA over plasmids. • The future for FDA regulation of LDTs is being developed. The impact of this regulation remains for debate.
  • 16. 16 Key Resources Key Resources • http://www.nature.com/ejhg/journal/v18/n12/full/ejhg2010101a.html • http://www.horizondx.com/applications/applying-our- formats/implementation-and-accreditation-of-iso-15189 • http://www.horizondx.com/applications/applying-our-formats/next- generation-sequencing-guidelines-new-york-state • ISO 15189:2007 • ISO 17025:2005 • http://www.fda.gov/downloads/MedicalDevices/DeviceRegulationandG uidance/GuidanceDocuments/UCM416685.pdf
  • 17. Case Study at Credit Valley Hospital A Discussion About the Value of Including Low Positive DNA Control in Each Assay
  • 18. 18 Methodology  EGFR mutation status test: Entrogen commercially available kit  Instrument: Roche LC480 Real Time PCR  Allele discriminating assays rely upon the ability of the probes to bind correctly and the software setting to correctly set a crossing point baseline  Controls: HDx™ Reference Standards to  Validate assay and establish detection  Limits for each mutation
  • 19. Assay Validation and Specific Crossing Points Cut-offs 20% 10% 5% Percentage Control CP Mutation CP L861Q 20% 30.35 29.66 30.37 30.58 30.66 30.45 10% 29.58 30.17 31.16 31.63 32.08 32.07 5% 29.50 29.72 31.94 32.82 33.18 33.26 1% 30.22 29.65 29.55 37.48 37.29 36.12 0% 29.39 29.20 30.26 n/a n/a n/a 1% LOD Validation Curve with HDx™ Reference Standards EGFR L861Q 19
  • 20. Validation Issues: Background Amplification in the G719X Reaction Mutation Positive Control Noise band Patient (Cp 37)  Negative control Cp can lead to a false positive result for the patient  Manually changing the baseline hides quality issues such as inefficient probe binding or PCR contamination in the blank Mutation Negative Control Mutation Negative Control Noise band 20  Inefficient probe binding and background noise is seen most in G719X and T790M
  • 21. Validation Issue: Separation from Background Amplification CP Values  T790M and G719X negative control and 1% Low Positive control values overlap  Crossing point value from 2.5% DNA HDx™ Reference Standard for each mutation provides best separation from background amplification 2.5% Crossing Point Value used as a cut off Low Positive Control now included in each assay to remove false positives 20.0 22.0 24.0 26.0 28.0 30.0 32.0 34.0 36.0 38.0 40.0 T790M Exon 19del L858R L861Q G719X 2.5% 1% Neg Ctl 21 CrossingPoint EGFR Variant
  • 22. Low Positive Control helps identify and correct false positives from Non- Specific Probe Binding EGFR G719X mutations were safely ruled out by use of the 2.5% cut-off value. G719X Reaction Kit PC (28.24) 2.5% Control (31.85) Patient A (34.70) Patient B Negative Control NTC
  • 23. Added Value from Inclusion of a Low Positive Control Inclusion of a 2.5% low positive control allows background amplification to be ruled out Background amplification can lead to false positive diagnostic results Big Picture Cancer patients awaiting treatments from diagnostic results False positives  TKI therapy for true EGFR WT patients • Proven to be detrimental over first-line chemotherapy (Patton et al., 2014)
  • 24. Diagnostic Test Issue: Low Mutation Content Below Cutoff Should the 2.5% control crossing point be the absolute cut-off in all cases? When mutation is in a low percentage of cells in the specimen, the crossing point will be high, and possibly above the 2.5% established cutoff How should a high crossing point value be evaluated? Inverse Relationship 24 Crossing Point (CP) Allelic Frequency % in Tumor sample
  • 25. Low Positive Control as Absolute Cut Off? Patient 1: 58 year old female Metastatic lung cancer • Mutation negative for all mutations except L858R • L858R crossing point slightly higher than 2.5% control • Qualitative assessment of amplification curve suggests true positive at about 1-2% L858R Reaction Kit PC (29.31) Patient C (34.41) 2.5% Control (33.58) Neg Ctl/NTC
  • 26. Low Positive Control as Absolute Cut Off? Patient 2: 58 Year old female with right lung adenocarcinoma • Mutation negative except for Exon 19del • Exon 19del crossing point slightly higher than 2.5% control • Qualitative assessment suggests this is a true positive, at about 1-2% Exon 19del Reaction Kit PC (28.39) 2.5% Control (30.71) Patient D (33.30) Neg Ctl/NTC
  • 27. Conclusion – Qualitative and Quantitative QC for each run needed Patient Outcomes Qualitative assessment suggests these are true positive results Patients are receiving anti-EGFR therapy and both report feeling better, less fatigue, still able to work Conclusion Crossing point values alone do not tell the whole story False negatives can occur from absolute/quantitative use of 2.5% control • Confidently ruled out by qualitative interpretation of patient amplification curve False negative  chemotherapy for EGFR mutant patient • Less effective than TKIs for patients with an EGFR variant (Patton et al, 2014) Horizon Diagnostics is proud to support clinical laboratories with the provision of sustainable reference materials for research use only; applications include the validation of equipment, consumables and laboratory developed tests offline from patient testing, supporting the healthcare continuum for the regulators, payors, clinical laboratory and ultimately the patient.
  • 28. Analytical Utility of a Low Positive Control Inclusion of a 2.5% low positive control allows elimination of false positives Low positive controls supply a qualitative reference for true amplification so that low positive results can be reported with confidence Reduce the risk of false negative reports It a QC check for each run Provide consistency between patient EGFR mutation status experiments 28 Reduction in False Negatives and False Positive Results is needed for better future PT results and diagnostic testing
  • 29. 2.5% Crossing Point Values Very Consistent Between Assays T790M Exon19del L858R L861Q G719X Kit Pos Ctl 28.13 29.17 29.87 28.73 28.36 2.50% 32.64 31.61 34.1 32.12 31.9 26 27 28 29 30 31 32 33 34 35 36 37 CrossingPoint Control Crossing Points Comparison 29 95% confidence intervals for 17 different assays Mean Crossing points of 2.5% Low positive control: +/- 0.26 (L858R) to +/- 0.56 (G719X)
  • 30. The Value of a Low Positive Control at Credit Valley Hospital Case study of how a Canadian clinical laboratory used RUO products to validate their laboratory developed test Credit Valley Hospital includes a 2.5% MAF reference standard for all their EGFR diagnostic tests • Individual EGFR Base-Seq DNA HDx™ Reference Standards are ordered and pooled to a 2.5% mutant allelic frequency • A Low Positive Control has also been implemented for the BRAF, KRAS and NRAS testing at this laboratory This gives them the confidence that their assay is working today, and also a qualitative benchmark for true amplification when patient results are close to cut off CT values 30 EGFR Low Positive Control KRAS Low Positive Control BRAF Low Positive Control NRAS Low Positive Control
  • 31. 7 “The low positive control is critical to my confidence in the lab’s diagnostic reporting and analytical results.” Dr. Marsha Speevak, Discipline Lead Molecular Genetics and Cytogenetics, Credit Valley Hospital, Trillium Health Partners What is the impact of assay failure in your laboratory and how do you monitor for it?
  • 32. Assay Plate Set Up – Supplemental Data  Credit Valley Uses 4 lanes of controls in their kit 1. Kit PC 2. Blank 3. Kit Negative 4. Horizon Dx pooled 2.5% Control

Editor's Notes

  1. We know that formalin can be challenging to the MDX workflow.
  2. EGFR test, 91 labs participated 70%. With their best efforts put forward still got it wrong 30% of the time.
  3. In order to address these challenges, horizon diagnostics has created the following reference standards, FFPE to examine DNA extraction, DNA Reference standards for genotyping, and our cell slides for IHC and FISH assays.
  4. Hello everyone. I am Hannah Murfet, Product Quality Manager at Horizon Discovery. Here at Horizon I am responsible for the quality and regulatory management aspects of Horizon’s products including design and new product introduction. Today I am going to provide an overview of the regulatory requirements associated with the clinical application of Next Generation Sequencing with particular focus on validation.
  5. Validation occurs across multiple areas of the clinical laboratory. Validation can include equipment, reagents, operators, platforms. Two of the key areas are test and platform validation. Test development includes Establishing protocol Optimising performance Determining pooling parameters Using synthetic variants to compare tools and facilitate optimisation Test validation includes Determine parameters First tests developed carry highest validation requirements Changes to tests must follow re-validation required against existing test Platform validation Cumulative performance data established Determine confidence intervals Track and validate software versions Changes to platform must follow re-validation required against existing platform
  6. Validation occurs across multiple areas of the clinical laboratory. Validation can include equipment, reagents, operators, platforms. Two of the key areas are test and platform validation. Test development includes Establishing protocol Optimising performance Determining pooling parameters Using synthetic variants to compare tools and facilitate optimisation Test validation includes Determine parameters First tests developed carry highest validation requirements Changes to tests must follow re-validation required against existing test Platform validation Cumulative performance data established Determine confidence intervals Track and validate software versions Changes to platform must follow re-validation required against existing platform
  7. Validation occurs across multiple areas of the clinical laboratory. Validation can include equipment, reagents, operators, platforms. Two of the key areas are test and platform validation. Test development includes Establishing protocol Optimising performance Determining pooling parameters Using synthetic variants to compare tools and facilitate optimisation Test validation includes Determine parameters First tests developed carry highest validation requirements Changes to tests must follow re-validation required against existing test Platform validation Cumulative performance data established Determine confidence intervals Track and validate software versions Changes to platform must follow re-validation required against existing platform
  8. Validation occurs across multiple areas of the clinical laboratory. Validation can include equipment, reagents, operators, platforms. Two of the key areas are test and platform validation. Test development includes Establishing protocol Optimising performance Determining pooling parameters Using synthetic variants to compare tools and facilitate optimisation Test validation includes Determine parameters First tests developed carry highest validation requirements Changes to tests must follow re-validation required against existing test Platform validation Cumulative performance data established Determine confidence intervals Track and validate software versions Changes to platform must follow re-validation required against existing platform
  9. Validation occurs across multiple areas of the clinical laboratory. Validation can include equipment, reagents, operators, platforms. Two of the key areas are test and platform validation. Test development includes Establishing protocol Optimising performance Determining pooling parameters Using synthetic variants to compare tools and facilitate optimisation Test validation includes Determine parameters First tests developed carry highest validation requirements Changes to tests must follow re-validation required against existing test Platform validation Cumulative performance data established Determine confidence intervals Track and validate software versions Changes to platform must follow re-validation required against existing platform
  10. Validation occurs across multiple areas of the clinical laboratory. Validation can include equipment, reagents, operators, platforms. Two of the key areas are test and platform validation. Test development includes Establishing protocol Optimising performance Determining pooling parameters Using synthetic variants to compare tools and facilitate optimisation Test validation includes Determine parameters First tests developed carry highest validation requirements Changes to tests must follow re-validation required against existing test Platform validation Cumulative performance data established Determine confidence intervals Track and validate software versions Changes to platform must follow re-validation required against existing platform
  11. Validation occurs across multiple areas of the clinical laboratory. Validation can include equipment, reagents, operators, platforms. Two of the key areas are test and platform validation. Test development includes Establishing protocol Optimising performance Determining pooling parameters Using synthetic variants to compare tools and facilitate optimisation Test validation includes Determine parameters First tests developed carry highest validation requirements Changes to tests must follow re-validation required against existing test Platform validation Cumulative performance data established Determine confidence intervals Track and validate software versions Changes to platform must follow re-validation required against existing platform
  12. Looking at their validation
  13. Next LOD
  14. Two variants are trickier to report on due to inefficient Background amp –
  15. Look back at their validation, 1% actually overlaps with background amplification. Included another dilution in validation, 2.5% The found that this 2.5% gave them the best separation from background amplification CP values or cut off values.
  16. Patient A amplification rises above the negative control, but is lower than the 1% DNA cut-off giving a false positive Crossing point value Qualitative and quantitative assessment of curves comparing 2.5%, negative control and patient reactions Original cutoff for G719X was 36 (at 1% DNA positive Control) Patient A amplification rises above the negative control, but is lower than the 1% DNA cut-off giving a false positive Crossing point value In this case, we could safely rule out G719X mutations in both patients by use of the 2.5% cut-off value. 2.5% low positive control also provides a QC check in each run. Qualitative assessment of the amplification curve of the patient sample in comparison with the low positive control provides a higher level of certainty about the result than use of a crossing point cutoff alone.
  17. On the other side of these clinical samples are patients who are waiting on a cancer treatment decision to fight for their life. Looked into value of low positive control – but should this be an absolute cut off
  18. To explore this further we have two patient runs to look at
  19. Except perhaps L858R CP value higher than LPC but through qualitative assesment we see it amplifies similarily to our control. True + the second patient
  20. What is the clinical utility
  21. Low Postive CP value should not be used as an absolute cut off, qualitative inspection of curve should occur tp ID true amplification and to reduce the risk of false negative reporting.
  22. http://www.horizondx.com/connect-with-us/webinars